statistics Flashcards

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1
Q

median

A

middle value
odd = (n+1)/2
even = (n/2+(n+1)/2)/2

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2
Q

mode

A

most frequent value

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3
Q

absolute frequency

A

count/number

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4
Q

relative frequency

A

percent of observations

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5
Q

cumulative absolute/relative frequency

A

skumulowane wartości procenty

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6
Q

outliers

A

wartości graniczne
delete = trimmed mean
replace = winsorised mean

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7
Q

quartile/
quintiles/
decilies/
percentiles

A

kwartyle/
n/5
n/10
n/100

co n-ty wyraz

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8
Q

disperation

A

rozproszenie

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9
Q

central tendency

A

tendencja centralna

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10
Q

range

A

max vol - miz vol
when no shape of the distribution, sensitive to outliers

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11
Q

mean absolute deviation

A

suma|x-xsr|/n

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12
Q

sample variance/popul variance

A

sample = mianowki (n-1)
popul = mianownik = n

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13
Q

downside deviation/semideviation

A

to samo tylko zamiast od średniej odejmujemy od jakiejś minimalnej wartości i dzielimy przez n-1. ważne że interesują nas jedynie mniejsze wartości

when we want a return x% instead of mean we use x% because we are concerned about values below this level

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14
Q

coefficient of variation (CV)

A

CV=S/xśr, measure of relative dispertion (procentowo). level of risk per unit of return (odchylenie standardowe/średnia)
the lower the less risk

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15
Q

Skewness

A

positively = more on the begining
negatively = more at the end

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16
Q

interquartile range

A

the difference between the third and first quartiles

17
Q

the higher the dispersion of a distribution, the greater the difference between the arithmetic mean

A
18
Q

kurtosis

A

k = 0 - normal distribution

k>3 - higher at the head thinner at the shoulders more on tail. = fat-tailed (leptokurtic)

k<3 lower at the head more at the shoulders lower tail. = thin-tailed (platokurtic)

19
Q

excess kurtoisis

A

kurtoisis - 3

20
Q

limitations of correlation

A
  1. Spurious correlation (pozorna korelacja)
  2. linear association only
  3. correlation does not imply causation
  4. not good with outliers
21
Q

n-tiles number

A

The position of the first quintile is found with the following formula:

Ly = (n + 1) × (y/100),where

y = the percentage point at which the distribution is divided. In this case, y = 20, which corresponds to the 20th percentile (first quintile)

n = the number of observations (funds) in the peer group. In this case, n = 13